Elme Messer Men`s Baltic League 2026/2027

Elme Messer Men`s Baltic League 2026/2027

Elme Messer Men`s Baltic League 2026/2027 Best players MIDDLE BLOCKER
PlayerPlayedBlockBlockServeServeAttackAttackRanking
  MS#=/TotBl ind.Bl ind.#=/TotSv ind.Sv ind.#=/TotSp ind.Sp ind.Index

1

Treial Henri
(Barrus Võru VK)

3

13

14

3

0

25

0.0243

0.0243

2

6

1

42

0.0052

0.0052

11

0

3

24

4.3333

4.3333

0.48913

2

Makarov Ilija
( Ezerzeme / DU / Homelike)

1

3

2

0

0

2

0.0156

0.0156

2

1

0

13

0.0156

0.0156

4

0

0

4

3

3

0.4868

3

Graham Beau James
(BIGBANK Tartu)

2

6

6

3

0

18

0.0219

0.0219

1

3

0

20

0.0036

0.0036

8

2

0

13

2.7692

2.7692

0.46409

4

Svans Toms
(PÄRNU Võrkpalliklubi)

3

12

6

22

0

56

0.0106

0.0106

8

8

0

56

0.0141

0.0141

27

1

3

44

6.2727

6.2727

0.45486

5

Rogal Tomas
(Elga-Grafaite S-Sportas Šiauliai)

3

13

8

0

0

8

0.0148

0.0148

5

5

0

40

0.0093

0.0093

18

1

5

33

4.7273

4.7273

0.45352

6

Naaber Mart
(BIGBANK Tartu)

2

6

4

7

0

21

0.0146

0.0146

1

2

1

21

0.0073

0.0073

14

1

0

19

4.1053

4.1053

0.44127

7

Dūdens Eduards
(Robežsardze / RSU)

3

11

8

3

0

19

0.0164

0.0164

2

4

0

32

0.0041

0.0041

19

2

1

34

5.1765

5.1765

0.43811

8

Ločmelis Tomass
(Jēkabpils Lūši)

1

4

4

0

0

9

0.0207

0.0207

0

2

0

14

0

0

5

1

0

11

1.4545

1.4545

0.43692

9

Aganits Andri
(Selver x TalTech)

3

10

7

17

0

40

0.0153

0.0153

1

2

1

34

0.0044

0.0044

13

2

2

22

4.0909

4.0909

0.43063

10

Pelēkais Kristaps
(Jēkabpils Lūši)

1

4

2

5

0

12

0.0104

0.0104

0

3

2

12

0.0104

0.0104

5

0

0

9

2.2222

2.2222

0.42833

11

Garrison III James Austin
(PÄRNU Võrkpalliklubi)

3

8

6

10

2

27

0.0106

0.0106

2

4

2

20

0.0071

0.0071

3

1

1

15

0.5333

0.5333

0.41072

12

Suchanekas Mykolas
(Elga-Grafaite S-Sportas Šiauliai)

3

13

6

0

0

6

0.0111

0.0111

3

2

0

55

0.0056

0.0056

12

3

2

34

2.6765

2.6765

0.41023

13

Vinšteins Renārs
(Robežsardze / RSU)

2

3

4

0

0

8

0.0134

0.0134

0

1

0

3

0

0

1

0

0

4

0.75

0.75

0.39324

14

Formanickis Aleksejs
(Robežsardze / RSU)

3

10

6

7

0

22

0.0123

0.0123

0

2

0

23

0

0

10

1

2

21

3.3333

3.3333

0.39143

15

Marčenko Konstantīns
( Ezerzeme / DU / Homelike)

4

11

4

6

0

17

0.0064

0.0064

2

6

1

43

0.0048

0.0048

14

0

1

26

5.5

5.5

0.38416

16

Peterson Kristo-Joosep
(PÄRNU Võrkpalliklubi)

2

6

2

10

1

22

0.0053

0.0053

2

0

0

16

0.0053

0.0053

5

2

2

10

0.6

0.6

0.37211

17

Luuken Hendrik
(Selver x TalTech)

3

10

3

10

0

19

0.0065

0.0065

1

4

0

35

0.0022

0.0022

9

2

1

18

3.3333

3.3333

0.36917

18

Žolnerovičs Devids
( Ezerzeme / DU / Homelike)

5

11

3

7

0

19

0.004

0.004

2

5

0

31

0.0027

0.0027

9

5

0

21

2.0952

2.0952

0.35537

19

Perillus Sten
(Barrus Võru VK)

3

11

3

0

0

12

0.0052

0.0052

0

1

0

34

0

0

8

1

0

17

4.5294

4.5294

0.35376

20

Kabanen Kristjan
(Barrus Võru VK)

3

6

0

2

0

2

0

0

1

2

0

10

0.0017

0.0017

0

2

0

2

-6

-6

0.32671

21

Mironovs Daņila
( Ezerzeme / DU / Homelike)

1

1

0

0

0

0

0

0

0

1

0

1

0

0

0

0

0

0

0

0

0.31911

22

Kõivoste Cenor
(Barrus Võru VK)

1

1

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0.31911

23

Kalin Mihail
(Selver x TalTech)

1

1

0

0

0

1

0

0

0

0

0

0

0

0

1

0

1

2

0

0

0.31911

Ranking Calculation

Middle-Blocker

the ranking takes into account:

  • Serve Index (Sv ind.): positive serves divided the total points of both teams (ranking is available only if the player has made at least one serve per set)

  • Attack Index (Sp ind.): positive attacks minus negative attacks divided the total attacks (ranking is available only if the player has made at least three attacks per set)

  • Block Index (Bl ind.): positive blocks divided the total points of both teams

The final ranking is based on the final “index” which determines the impact of the role on the game, in other words the importance of the role towards the win probability. This final Index is calculated considering the indexes for each single skill (“ind.” columns) and a coefficient which indicates the “importance” of the role to determine the probability of success for the team. Each single skill index is calculated considering the positive and negative skills based on the number of points played from the teams and multiplied for a coefficient which indicates the importance of the skill for that role to determine the probability of success for the team. The icons next to each skill column give an idea about the “weight” of the skill determining the probability of success for the team in this role. The final Index is calculated also considering the following criteria:

  • Minimum number of Serves per set:  1

  • Minimum number of Spikes per set:  1

Serve

  • # serve ace

  • / half point

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1